Agent-based intelligent system development for decision support in chemical process industry

This paper experiments with an agent-based system designed to support decisions in chemical process industry. Chemical engineering technology, artificial intelligent and information technology are integrated to automate decisions on-line. A multi-agent system is employed to coordinate tasks and information stored in heterogeneous resources. The system architecture is first discussed in this paper. The implementation of the system provides an environment to coordinate manufacturing and integrate rules, optimization and simulation models.